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2020 – today
- 2024
[j1]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. 25: 70:1-70:53 (2024)- [i24]Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim:
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR abs/2403.20327 (2024) - [i23]Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu:
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR abs/2406.13121 (2024) - 2023
- [c31]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 2023: 16477-16508 - [c30]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) 2023: 14242-14252 - [c29]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR 2023 - [c28]Rohith Pudari
, Shiyuan Zhou, Iftekhar Ahmed, Zhuyun Dai, Shurui Zhou:
Aligning Documentation and Q&A Forum through Constrained Decoding with Weak Supervision. ICSME 2023: 346-351 - [c27]Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao:
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. NeurIPS 2023 - [i22]Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao:
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. CoRR abs/2304.01982 (2023) - [i21]Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao:
Dr.ICL: Demonstration-Retrieved In-context Learning. CoRR abs/2305.14128 (2023) - [i20]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR abs/2310.14408 (2023) - 2022
- [c26]Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang:
Large Dual Encoders Are Generalizable Retrievers. EMNLP 2022: 9844-9855 - [c25]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. ICML 2022: 4558-4586 - [i19]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. CoRR abs/2205.09073 (2022) - [i18]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR abs/2209.11755 (2022) - [i17]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
Attributed Text Generation via Post-hoc Research and Revision. CoRR abs/2210.08726 (2022) - [i16]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. CoRR abs/2210.11416 (2022) - [i15]Yujie Qian, Jinhyuk Lee, Sai Meher Karthik Duddu, Zhuyun Dai, Siddhartha Brahma, Iftekhar Naim, Tao Lei, Vincent Y. Zhao:
Multi-Vector Retrieval as Sparse Alignment. CoRR abs/2211.01267 (2022) - 2021
- [c24]Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan:
Complement Lexical Retrieval Model with Semantic Residual Embeddings. ECIR (1) 2021: 146-160 - [c23]Luyu Gao, Zhuyun Dai, Jamie Callan:
Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline. ECIR (2) 2021: 280-286 - [c22]HongChien Yu, Zhuyun Dai, Jamie Callan:
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. ECIR (2) 2021: 440-447 - [c21]Luyu Gao, Zhuyun Dai, Jamie Callan:
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. NAACL-HLT 2021: 3030-3042 - [i14]HongChien Yu, Zhuyun Dai, Jamie Callan:
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. CoRR abs/2101.07918 (2021) - [i13]Luyu Gao, Zhuyun Dai, Jamie Callan:
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline. CoRR abs/2101.08751 (2021) - [i12]Luyu Gao, Zhuyun Dai, Jamie Callan:
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. CoRR abs/2104.07186 (2021) - [i11]Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang:
Large Dual Encoders Are Generalizable Retrievers. CoRR abs/2112.07899 (2021) - 2020
- [c20]Ramith Padaki, Zhuyun Dai, Jamie Callan:
Rethinking Query Expansion for BERT Reranking. ECIR (2) 2020: 297-304 - [c19]Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu:
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. EMNLP (Findings) 2020: 2395-2400 - [c18]Luyu Gao, Zhuyun Dai, Jamie Callan:
Modularized Transfomer-based Ranking Framework. EMNLP (1) 2020: 4180-4190 - [c17]Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. ICTIR 2020: 149-152 - [c16]Zhuyun Dai, Jamie Callan:
Context-Aware Term Weighting For First Stage Passage Retrieval. SIGIR 2020: 1533-1536 - [c15]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. SIGIR 2020: 1537-1540 - [c14]Joel M. Mackenzie, Zhuyun Dai, Luke Gallagher, Jamie Callan:
Efficiency Implications of Term Weighting for Passage Retrieval. SIGIR 2020: 1821-1824 - [c13]Zhuyun Dai, Jamie Callan:
Context-Aware Document Term Weighting for Ad-Hoc Search. WWW 2020: 1897-1907 - [i10]Luyu Gao, Zhuyun Dai, Jamie Callan:
EARL: Speedup Transformer-based Rankers with Pre-computed Representation. CoRR abs/2004.13313 (2020) - [i9]Luyu Gao, Zhuyun Dai, Zhen Fan, Jamie Callan:
Complementing Lexical Retrieval with Semantic Residual Embedding. CoRR abs/2004.13969 (2020) - [i8]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. CoRR abs/2005.11490 (2020) - [i7]Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. CoRR abs/2007.11088 (2020) - [i6]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020)
2010 – 2019
- 2019
- [c12]Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. SIGIR 2019: 985-988 - [c11]Zhuyun Dai, Jamie Callan:
An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. TREC 2019 - [c10]Zhuyun Dai, Zhen Fan, Hafeezul Rahman, Jamie Callan:
Local Matching Networks for Engineering Diagram Search. WWW 2019: 340-350 - [i5]Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. CoRR abs/1905.09217 (2019) - [i4]Zhuyun Dai, Jamie Callan:
Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval. CoRR abs/1910.10687 (2019) - 2018
- [c9]Zhuyun Dai, Jamie Callan:
Inverted List Caching for Topical Index Shards. ECIR 2018: 577-583 - [c8]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. SIGIR 2018: 961-964 - [c7]Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. WSDM 2018: 126-134 - [i3]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. CoRR abs/1809.10522 (2018) - [i2]Salvador Medina, Zhuyun Dai, Yingkai Gao:
Where is this? Video geolocation based on neural network features. CoRR abs/1810.09068 (2018) - 2017
- [c6]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. NTCIR 2017 - [c5]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. SIGIR 2017: 55-64 - [c4]Zhuyun Dai, Yubin Kim, Jamie Callan:
Learning To Rank Resources. SIGIR 2017: 837-840 - [i1]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. CoRR abs/1706.06613 (2017) - 2016
- [c3]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
Query-Biased Partitioning for Selective Search. CIKM 2016: 1119-1128 - 2015
- [c2]Zhuyun Dai, Yubin Kim, Jamie Callan:
How Random Decisions Affect Selective Distributed Search. SIGIR 2015: 771-774 - 2014
- [c1]Yifei Xu, Yue Yan, Zhuyun Dai, Xiaolin Wang:
A management model for SDN-based data center networks. INFOCOM Workshops 2014: 113-114
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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